Towards Kron reduction of generalized electrical networks

Automatica ◽  
2014 ◽  
Vol 50 (10) ◽  
pp. 2586-2590 ◽  
Author(s):  
Sina Yamac Caliskan ◽  
Paulo Tabuada
Keyword(s):  
Electrical Networks ◽  
Kron Reduction

scholarly journals Approximate Kron Reduction Methods for Electrical Networks With Applications to Plug-and-Play Control of AC Islanded Microgrids

2019 ◽  
Vol 27 (6) ◽  
pp. 2403-2416 ◽  
Author(s):  
Alessandro Floriduz ◽  
Michele Tucci ◽  
Stefano Riverso ◽  
Giancarlo Ferrari-Trecate
Keyword(s):  
Electrical Networks ◽  
Plug And Play ◽  
Reduction Methods ◽  
Kron Reduction

scholarly journals Kron Reduction of Graphs With Applications to Electrical Networks

2013 ◽  
Vol 60 (1) ◽  
pp. 150-163 ◽  
Author(s):  
Florian Dorfler ◽  
Francesco Bullo
Keyword(s):  
Electrical Networks ◽  
Kron Reduction

Sensor optimum location algorithm for estimating harmonic sources injection in electrical networks

2014 ◽  
pp. 291-295
Author(s):  
Luis F. Beites ◽  
Manuel Alvarez ◽  
Agustin Díaz
Keyword(s):  
Electrical Networks ◽  
Optimum Location ◽  
Location Algorithm

RESEARCH OF ELECTRICAL SAFETY CONDITIONS IN UNDERGROUND ELECTRICAL NETWORKS OF MINING ENTERPRISES

2018 ◽  
Vol 2 (7) ◽  
pp. 21-33
Author(s):  
A.V. Ljahomskij ◽  
◽  
A.G. Kutepov ◽  
Keyword(s):  
Electrical Safety ◽  
Electrical Networks

ADDITIONAL POWER LOSSES IN ELECTRICAL NETWORKS AT ASYMMETRICAL LOADING

2020 ◽  
Vol 3 (3) ◽  
pp. 35-42
Author(s):  
Gulasalkhon Musinova ◽  
Keyword(s):  
Electrical Networks ◽  
Power Losses

Study of the operation of an artificial neural network that works in the electric network in order to prevent emergency conditions.

2020 ◽  
Vol 14 (1) ◽  
pp. 48-54
Author(s):  
D. Ostrenko ◽  
Keyword(s):  
Neural Networks ◽  
Learning Algorithm ◽  
Electricity Consumption ◽  
Electrical Energy ◽  
Energy System ◽  
Electrical Networks ◽  
Electric Networks ◽  
Electric Network ◽  
Time Dynamics ◽  
Emergency Situations

Emergency modes in electrical networks, arising for various reasons, lead to a break in the transmission of electrical energy on the way from the generating facility to the consumer. In most cases, such time breaks are unacceptable (the degree depends on the class of the consumer). Therefore, an effective solution is to both deal with the consequences, use emergency input of the reserve, and prevent these emergency situations by predicting events in the electric network. After analyzing the source [1], it was concluded that there are several methods for performing the forecast of emergency situations in electric networks. It can be: technical analysis, operational data processing (or online analytical processing), nonlinear regression methods. However, it is neural networks that have received the greatest application for solving these tasks. In this paper, we analyze existing neural networks used to predict processes in electrical systems, analyze the learning algorithm, and propose a new method for using neural networks to predict in electrical networks. Prognostication in electrical engineering plays a key role in shaping the balance of electricity in the grid, influencing the choice of mode parameters and estimated electrical loads. The balance of generation of electricity is the basis of technological stability of the energy system, its violation affects the quality of electricity (there are frequency and voltage jumps in the network), which reduces the efficiency of the equipment. Also, the correct forecast allows to ensure the optimal load distribution between the objects of the grid. According to the experience of [2], different methods are usually used for forecasting electricity consumption and building customer profiles, usually based on the analysis of the time dynamics of electricity consumption and its factors, the identification of statistical relationships between features and the construction of models.

Control Loops Selection for Damping Inter-Area Oscillation's of Electrical Networks

2002 ◽  
Vol 22 (3) ◽  
pp. 59-59
Author(s):  
A. Heniche ◽  
I. Kamwa
Keyword(s):  
Electrical Networks ◽  
Control Loops ◽  
Selection For
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